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(46) · $34.95 · In stock
This book is written for engineers, data scientists, and stock traders who want to build time series forecasting programs using deep learning. Possessing some ...
This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction ...
Time Series Forecasting Using Deep Learning: Combining Pytorch, RNN, TCN, and Deep Neural Network Models to Provide Production-ready Prediction Solutions
Book by Ivan Gridin
5/5 · Z-Library
Explore the infinite possibilities offered by Artificial Intelligence and Neural NetworksKey FeaturesCovers numerous concepts, techniques, best practices and troubleshooting tips by community experts.Includes ... Google Books
Originally published: October 15, 2021
Author: Ivan Gridin
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(2) · $43.09
Time Series Forecasting using Deep Learning [Das, Abhishek, Bhanja, Samit] on Amazon.com. *FREE* shipping on qualifying offers. Time Series Forecasting ...
Oct 15, 2021 · This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build ...
Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python by Jason Brownlee (z-lib.org).pdf.
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Apr 10, 2023 · Yes because all DL models are supposed to work with large amounts of data, and use M4 as baseline instead (M5 had even less data than M4!) " ...
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(3) · $45.24 · In stock
In this Book, different normalization methods are used on time series data before feeding the data into the DNN model and we try to find out the impact of ...
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You'll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these ...
Maybe you want or need to start using deep learning for time series on your research project or on a project at work. This book was written to help you do that ...
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Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions.
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